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People who shaped AI. Public professional records only.
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- Aidan GomezAidan Gomez is a Canadian computer scientist, co-founder and CEO of Cohere, and one of the eight authors of the 2017 paper that introduced the Transformer architecture.
- Ali FarhadiAli Farhadi (born 1982) is a computer scientist and professor at the University of Washington who served as chief executive of the Allen Institute for AI from 2023 to 2026, a period that included fully open releases of the OLMo, Molmo and Tülu models.
- Andrej KarpathyAI researcher and educator, born in Bratislava and raised partly in Toronto, who co-founded OpenAI, led AI at Tesla, taught Stanford's CS231n course, and later joined Anthropic's pre-training team.
- Ashish VaswaniAshish Vaswani is a computer scientist best known as the first-listed author of “Attention Is All You Need,” the 2017 paper that introduced the Transformer architecture. He also co-founded the AI companies Adept and Essential AI.
- Clément DelangueClément Delangue is a French entrepreneur who co-founded Hugging Face in 2016 and runs it as CEO, leading its shift from a chatbot app to an open machine-learning platform and model hub.
- Fei-Fei LiStanford computer scientist Fei-Fei Li created ImageNet, the large-scale image dataset and challenge that gave data-driven computer vision a common benchmark, and has led AI research in both academia and industry.
- Geoffrey HintonGeoffrey Hinton is a computer scientist born in London whose research on neural networks, including back-propagation and deep convolutional networks, is central to deep learning. He shared the 2018 ACM A.M. Turing Award and the 2024 Nobel Prize in Physics.
- Harry ShumHarry Shum is a computer scientist who spent most of his career at Microsoft, helping found Microsoft Research Asia in Beijing and later leading the company's AI and Research group. He is an IEEE Fellow and ACM Fellow recognised for computer vision and graphics.
- Illia PolosukhinIllia Polosukhin is one of the eight authors of the 2017 Transformer paper and a co-founder of NEAR Protocol. A 2024 NEAR post identifies him as CEO of the NEAR Foundation.[^1][^3][^6]
- Jacob DevlinJacob Devlin is a research scientist and first author of BERT, a language model Google introduced in 2018 that reads text in both directions. He earlier worked on neural machine translation at Microsoft Research.
- Jakob UszkoreitJakob Uszkoreit is one of the eight authors of “Attention Is All You Need” and the founder of Inceptive, a company using AI to design biological molecules.[^1][^4]
- John McCarthyJohn McCarthy (1927–2011) was an American computer scientist. His 1955 proposal is credited with coining the term “artificial intelligence”, he organised the 1956 Dartmouth workshop, and he created the LISP programming language.
- Julien ChaumondFrench entrepreneur who co-founded Hugging Face in 2016 and serves as its CTO, building the platform where open models and datasets are shared and speaking publicly for open-source AI.
- Kaiming HeKaiming He is a computer-vision and deep-learning researcher, first author of the 2015 ResNet paper that introduced residual connections, now a tenured associate professor at MIT.
- Karol HausmanKarol Hausman is a roboticist working on robot learning, sim-to-real transfer and embodied AI. He was a senior research scientist at Google Brain and Google DeepMind, is an adjunct professor at Stanford, and co-founded Physical Intelligence.
- Llion JonesLlion Jones is one of the eight authors of the 2017 paper "Attention Is All You Need" and a co-founder and CTO of Sakana AI.
- Nat FriedmanNat Friedman is a technology executive who led Xamarin as CEO, became CEO of GitHub after Microsoft acquired it, and later joined Meta to help lead Meta Superintelligence Labs.
- Niki ParmarNiki Parmar is one of the eight authors of "Attention Is All You Need", the 2017 paper that introduced the Transformer architecture, and is named in Google's own account of that work.
- Noam ShazeerNoam Shazeer is an AI researcher who co-wrote the Transformer paper and was first author of the paper on sparsely gated mixture-of-experts layers. He co-founded Character.AI, returned to Google in 2024, and announced a move to OpenAI in 2026.
- Quoc LeQuoc Le is a machine-learning researcher whose 2013 Stanford Ph.D. thesis was on scalable feature learning. He co-authored papers on large-scale unsupervised learning, sequence-to-sequence models, neural architecture search and EfficientNet; the sequence-to-sequence paper won a NeurIPS 2024 Test of Time award.